How often should I run a full AEO audit?

Run a comprehensive audit quarterly, with lighter monthly checks on key metrics like crawlability, schema validation, and Share of Model. After any major site update, content migration, or AI model update, run a targeted audit on the affected areas.

Which items on this checklist have the biggest impact?

Crawlability and structured data have the highest immediate impact. If AI crawlers cannot access your content or parse its structure, no amount of content optimisation will help. Start with robots.txt, llms.txt, and JSON-LD implementation before moving to content formatting.

Can I automate parts of this audit?

Yes. AEO Platform automates technical auditing, schema validation, and ongoing monitoring. Manual review is still recommended for content quality, answer-first formatting, and editorial authority signals that require human judgement.

Resource

Checklist

Complete AEO Audit Checklist

A step-by-step audit to evaluate and improve your site's readiness for AI answer engines.

Quick answer

Before you can improve your AI visibility, you need to know where you stand. This comprehensive AEO audit checklist walks you through every technical, structural, and content factor that determines whether AI engines can discover, parse, and cite your content.

Overview

About this checklist

The checklist is organised into logical stages that mirror how AI crawlers interact with your site — from initial access and crawlability through to content structure and citation-readiness. Each item includes context on why it matters and what to look for.

Use this checklist quarterly or whenever you publish a major site update. Teams that audit regularly catch regressions before they erode AI visibility and can track improvement over time against a consistent baseline.

Crawlability & Access

1
Verify robots.txt allows AI crawlers
Check for GPTBot, Google-Extended, Anthropic-AI, PerplexityBot, and other AI-specific user agents.
2
Confirm llms.txt is present and valid
Ensure your llms.txt file is in the root directory and follows the specification format.
3
Check that key pages return 200 status codes
AI crawlers rarely follow redirect chains — ensure direct access to canonical URLs.
4
Test page load speed under 3 seconds
Slow pages may be deprioritised or skipped by AI crawlers with timeout limits.
5
Ensure sitemap.xml includes all priority pages
AI crawlers use sitemaps to discover content. Missing pages will not be indexed.
6
Verify no critical content is behind JavaScript rendering
Most AI crawlers do not execute JavaScript — content must be in the initial HTML response.

Structured Data & Schema

1
Implement JSON-LD on all key pages
Article, FAQ, HowTo, Product, and Organization schema types are most useful for AI engines.
2
Validate all structured data with Schema.org validator
Malformed JSON-LD is worse than none — AI engines may misinterpret broken markup.
3
Add FAQ schema to pages with question-answer content
FAQ schema directly maps to how AI engines structure responses to user questions.
4
Include author and publisher markup
AI engines use authorship signals to assess content authority and trustworthiness.
5
Add datePublished and dateModified to articles
Freshness signals heavily influence whether AI engines cite your content over competitors.

Content Structure & Formatting

1
Use clear heading hierarchy (H1 > H2 > H3)
AI parsers rely on heading structure to understand content organisation and topic relationships.
2
Lead sections with answer-first formatting
Place the direct answer in the first sentence of each section before providing supporting detail.
3
Include concise definitions for key terms
AI engines extract definitions to construct responses — make yours explicit and quotable.
4
Break complex topics into scannable subsections
Shorter, focused sections are easier for AI to extract and cite independently.
5
Add summary or TL;DR blocks to long content
AI engines often pull from summary blocks when constructing concise responses.
6
Use lists and tables for comparative information
Structured formats are more machine-parsable than prose paragraphs for comparison data.

Authority & Trust Signals

1
Ensure About page has detailed company information
AI engines check for organisational credibility when deciding which sources to cite.
2
Include author bios with credentials on editorial content
Author expertise signals contribute to E-E-A-T scoring used by AI engines.
3
Link to authoritative external sources
Outbound links to reputable sources reinforce the trustworthiness of your content.
4
Maintain consistent NAP data across the site
Name, Address, Phone consistency helps AI engines verify your business entity.

Monitoring & Measurement

1
Set up query bank for ongoing monitoring
Define 50-100 queries relevant to your brand and track AI engine responses weekly.
2
Establish Share of Model baseline per engine
Record your starting SoM across all target engines before making optimisation changes.
3
Track citation rate for key landing pages
Measure which pages are actually cited as sources versus just mentioned in passing.
4
Monitor competitor visibility alongside your own
Relative performance matters more than absolute numbers — track competitor SoM trends.
5
Schedule monthly audit re-checks
AI models update frequently. Monthly audits catch regressions early.

FAQ